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Mirian Del Carmen Hipolito Garcia

3 accepted papers

2025

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute

ICML 2025poster

Large language models (LLMs) are powerful tools but are often expensive to deploy at scale. LLM query routing mitigates this by dynamically assigning queries to models of varying cost and quality to obtain a desired tradeoff. Prior query routing approaches generate only one response from the select…

Cited by 0SourcePDFScholar
2025

Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings

NeurIPS 2025poster

Mixture-of-Experts (MoEs) achieve scalability by dynamically activating subsets of their components. Yet, understanding how expertise emerges through joint training of gating mechanisms and experts remains incomplete, especially in scenarios without clear task partitions. Motivated by inference cost…

Cited by 0SourceScholar
2025

Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation

AAAI 2025technical

Prompt instruction tuning is a popular approach to better adjust pretrained LLMs for specific downstream tasks. How to extend this approach to simultaneously handle multiple tasks and data distributions is an interesting question. We propose Mixture of Prompts (MoPs) with smart gating functionality.…

Cited by 5SourcePDFScholar